2 citations · 3 across the 6 of their papers we have counts for
9 papers
Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
Wentao Hu, Zhuoyue Wan, Jinhao Shen +3
Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pip…
SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
Shuaimin Li, Liyang Fan, Zeyang Li +9
Evaluating code large language models (Code LLMs) requires reliable detection of data leakage, where benchmark performance is artificially inflated by exposure to benchmark data du…
DataClaw: An Autonomous Data Agent with Instant Messaging Integration
Huahang Li, Wentao Hu, Zhuoyue Wan +3
In daily life, there are many scenarios that people need to tackle data-related tasks, such as filling out forms, analyzing Excel files, and visualize data report. However, the too…
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
Zhuoyue Wan, Wentao Hu, Chen Jason Zhang +5
Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this…
VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models
Shuaimin Li, Chen Jason Zhang, Xuanang Chen +7
Text-to-visualization (text-to-vis) models for tabular data have become essential tools in the era of big data, enabling users to generate visualizations and make data-driven decis…
DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
Zhuoyue Wan, Yuanfeng Song, Shuaimin Li +2
Data visualization (DV) is the fundamental and premise tool to improve the efficiency in conveying the insights behind the big data, which has been widely accepted in existing data…
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
Yan Luo, Zhuoyue Wan, Yuzhong Chen +3
Understanding the link between urban planning and commuting flows is crucial for guiding urban development and policymaking. This research, bridging computer science and urban stud…
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
Luyang Luo, Xin Huang, Minghao Wang +2
Deep learning could be prone to learning shortcuts raised by dataset bias and result in inaccurate, unreliable, and unfair models, which impedes its adoption in real-world clinical…
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation
Ruiqiang Xiao, Zhuoyue Wan
Vessel image segmentation plays a pivotal role in medical diagnostics, aiding in the early detection and treatment of vascular diseases. While segmentation based on deep learning h…